Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

Put down the pen and paper and shelve the spreadsheets. Artificial intelligence (AI) and advanced machine learning are the next-generation tools for demand forecasting in distribution. That was the ...

An earnings forecast that proves to be even moderately off target on the low side can damage a company’s stock price in the short term, and the effects of big misses can last for weeks or months.

Worldwide Flight Services (WFS), a SATS company, has developed a digital tool that uses machine learning to forecast cargo volumes and improve workforce planning. The system has been trained on 10 ...

ABSTRACT: The surge of digital data in tourism, finance and consumer markets demands predictive models capable of handling volatility, nonlinear dynamics, and long-term dependencies, where traditional ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

(*, **) Although the paper reports this low R 2 value, it is likely a typographical error. Thus, unlike prior studies, often constrained by modest sample sizes and a ...

Electric load forecasting is essential for power management and stability in smart grids. This is mainly achieved via advanced metering infrastructure, where smart meters (SMs) record household energy ...

Abstract: The increased use of renewable energy (RE) in residential settings is driving the demand for smart energy management systems (EMS) to optimally coordinate the purchasing and selling of power ...